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» Theory of Optimal Control Using Bisimulations
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GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
14 years 1 months ago
Solving the MAXSAT problem using a multivariate EDA based on Markov networks
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
Alexander E. I. Brownlee, John A. W. McCall, Deryc...
VIS
2007
IEEE
199views Visualization» more  VIS 2007»
14 years 8 months ago
Topology, Accuracy, and Quality of Isosurface Meshes Using Dynamic Particles
Abstract-This paper describes a method for constructing isosurface triangulations of sampled, volumetric, three-dimensional scalar fields. The resulting meshes consist of triangles...
Miriah Meyer, Robert M. Kirby, Ross Whitaker
CDC
2010
IEEE
105views Control Systems» more  CDC 2010»
13 years 2 months ago
Universal scheduling for networks with arbitrary traffic, channels, and mobility
We extend stochastic network optimization theory to treat networks with arbitrary sample paths for arrivals, channels, and mobility. The network can experience unexpected link or n...
Michael J. Neely
INFOCOM
2007
IEEE
14 years 1 months ago
Near-Optimal Data Dissemination Policies for Multi-Channel, Single Radio Wireless Sensor Networks
Abstract—We analyze the performance limits of data dissemination with multi-channel, single radio sensors. We formulate the problem of minimizing the average delay of data dissem...
David Starobinski, Weiyao Xiao, Xiangping Qin, Ari...
GECCO
2007
Springer
256views Optimization» more  GECCO 2007»
14 years 1 months ago
A particle swarm optimization approach for estimating parameter confidence regions
Point estimates of the parameters in real world models convey valuable information about the actual system. However, parameter comparisons and/or statistical inference requires de...
Praveen Koduru, Stephen Welch, Sanjoy Das